Fuzzy Neural Network Technology Support Decision-Making

Fuzzy Neural Network Technology Support Decision-Making

Bibliographic Details
Parent link:Advances in Computer Science Research
Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017).— 2017.— [P. 128-131]
Main Author: Nguyen Anh Tu
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение автоматизации и робототехники
Other Authors: Korikov A. M. Anatoly Mikhailovich, Nguyen Anh Tuan
Summary:Title screen
The application of fuzzy neural network models using fuzzy neuron activation functions to solve the problems of clustering the intensity of Markov chains, whose distribution belongs to the exponential family, has been investigated and discussed in this study. The research is carried out with the help of the computer simulation tools of MATLAB software. Markov chains are presented with a ten successive elementary data sets, each of which is characterized by the intensity of arrival of events. Using fuzzy neural networks, the dichotomy problem is solved: the clusterization of the intensity of ten Poisson streams. The simulation results have validated the applicability of fuzzy neural network clustering of Markov chain intensity.
Language:English
Published: 2017
Subjects:
электронный ресурс
труды учёных ТПУ
fuzzy activation functions
fuzzy neural networks
Markovian arrival processes
intensity clustering
нечеткие функции
нечеткие нейронные сети
марковские процессы
кластеризация
принятие решений
Online Access:http://dx.doi.org/10.2991/itsmssm-17.2017.27
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657535

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